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Closelooknet signal scores

get_signal_scores
Read-only

Closelooknet’s proprietary per-ticker scoring for ~900 scored stocks: composite rank, the seven sub-scores (quality, growth, valuation, balance, cash quality, capital allocation, momentum) under the sector-appropriate weight set, plus literature ratios (Altman Z, Piotroski F, Beneish M). End-of-day.

Input Schema

NameRequiredDescriptionDefault
tickerYesTicker, e.g. DDOG

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds genuinely useful behavioral context beyond that: the universe is limited to ~900 scored tickers (so an arbitrary ticker may return nothing) and the data is end-of-day, which sets freshness expectations. It still omits error/empty behavior and return shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the resource and its contents in a single dense sentence, closed by a terse freshness cue. No filler, though the long enumeration of sub-scores is slightly heavy and the trailing 'End-of-day.' fragment is abrupt.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description takes on the job of describing return values and discharges it well by listing the exact score components. Combined with the covered universe and EOD timing, an agent has enough to call it correctly, though fallback behavior for unscored tickers is unstated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter (ticker) and schema coverage is 100%, with an example ('DDOG') already in the schema, so the schema carries the burden. The description adds nothing about ticker syntax or validity, matching the baseline 3 for high-coverage schemas.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource — per-ticker proprietary scores — and enumerates the contents: composite rank, seven named sub-scores, and three literature ratios (Altman Z, Piotroski F, Beneish M). It reads as a retrieval tool distinct from siblings like get_stock_snapshot or get_factor_regime, though it never explicitly contrasts itself with them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not-to-use statement and no named alternative. Usage is only implied by the scope cues ('~900 scored stocks', 'End-of-day'), which let an agent infer that this is a daily fundamental-score lookup rather than an intraday or comparison tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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